Improving reservoir thickness prediction using seismic attributes and attributes fusion

Czasopismo : Acta Geophysica
Tytuł artykułu : Improving reservoir thickness prediction using seismic attributes and attributes fusion

Autorzy :
Shiuly, A
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India,
Kumar, V
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India,
Narayan, J.P.
Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, India, jaypnfeq@iitr.ernet.in,
Mousavian, R.
Department of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran, R_mousavian@yahoo.com,
Hossainali, M.M.
Department of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran, Hossainali@kntu.ac.ir,
Wiszniowski, J.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, jwisz@igf.edu.pl,
Plesiewicz, B.M.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland,
Trojanowski, J.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland,
Agh-Atabai, M.
Department of Geology, Faculty of Sciences, Golestan University, Gorgan, Iran, maryamataby@yahoo.com,
Mirabedini, M.S.
Department of Geology, Faculty of Sciences, Golestan University, Gorgan, Iran, m_mirabedini89@yahoo.com,
Rashed, M.
Department of Geophysics, Faculty of Earth Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia; Geology Department, Faculty of Science, Suez Canal University, Ismailia, Egypt, rashedmohamed@gmail.com,
Muduli, P.K
Department of Civil Engineering, National Institute of Technology, Rourkela, India, pradyut.muduli@gmail.com,
Das, S.K.
Department of Civil Engineering, National Institute of Technology, Rourkela, India, saratdas@rediffmail.com,
Liu, H.
School of Information Engineering, China University of Geosciences, Beijing, China, Jerryliu1103@gmail.com,
Lei, X
School of Information Engineering, China University of Geosciences, Beijing, China,
Mao, C
Research Institute of Exploration and Development, DianQianGui Oil Company, Sinopec Group, Kunming, Yunnan, China,
Li, S.
Research Institute of Exploration and Development, QingHai Oil Company, CNPC, Dunhuang, Gansu, China,
Abstrakty : Usage of any single attribute would introduce unacceptable uncertainty due to limited reservoir thickness and distribution, and strong lateral variations in lithological traps. In this paper, a wide range of prestack and post-stack seismic attributes is utilized to identify a range of properties of turbidity channel sandstone reservoir in Block L118 of J Oilfield, China. In order to better characterize the turbidity channel and lower the uncertainty, we applied multi-attribute fusion to weight a variety of seismic attributes in terms of their relevance to the identification of turbidity channel reservoir. Turbidity channel boundary is clearly present in the new attribute and the reservoir thickness prediction is improved. Additionally, fluid potential of reservoir was predicted using this fused attribute with a high value anomaly indicating high fluid potential. The multi-attribute fusion is a valid approach for the fine prediction of lithologic reservoirs, reducing the risks typically associated with exploration.

Słowa kluczowe : zbiornik wodny, przewidywanie, sejsmika, fuzja, reservoir, prediction, seismics, fusion,
Wydawnictwo : Instytut Geofizyki PAN
Rocznik : 2014
Numer : Vol. 62, no. 3
Strony : 544 – 563
Bibliografia :
DOI :
Cytuj : Shiuly, A ,Kumar, V ,Narayan, J.P. ,Mousavian, R. ,Hossainali, M.M. ,Wiszniowski, J. ,Plesiewicz, B.M. ,Trojanowski, J. ,Agh-Atabai, M. ,Mirabedini, M.S. ,Rashed, M. ,Muduli, P.K ,Das, S.K. ,Liu, H. ,Lei, X ,Mao, C ,Li, S. , Improving reservoir thickness prediction using seismic attributes and attributes fusion. Acta Geophysica Vol. 62, no. 3/2014
facebook